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Bringing an AI Product to Market

O'Reilly on Data

In this article, we turn our attention to the process itself: how do you bring a product to market? There’s a substantial literature about ethics, data, and AI, so rather than repeat that discussion, we’ll leave you with a few resources. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ).

Marketing 362
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Casinos Post COVID-19: Preparing For The Reopening

BizAcuity

Once the pandemic scare is over, it is estimated that markets will see a sudden surge in customers/players. With respect to developments or changes in inbound markets, gaming data, player statistics, economic recovery speed, and more, adjust and reiterate core strategies. Assemble the right team.

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Master Data Visualization Techniques: A Comprehensive Guide

FineReport

Applications in Various Fields In Business , data visualization is used for sales analysis , market forecasting, and performance KPI tracking. Within the realm of Healthcare , visualized data assists in patient monitoring, disease mapping, and medical research.

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How CIOs Can Transform Data From a Cost to an Advantage

CIO Business Intelligence

As Warren Jenson, LiveRamp President, said, failing to do this first can be counter-intuitive to the company’s data goals. For internal stakeholders, identity strengthens customer intelligence, improves ROI and generates new revenue streams across sales, marketing, IT and other departments, among many other benefits.”

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Data Analytics Plays a Vital Role in Teacher Verification Software

Smart Data Collective

The type of data analytics best suited for a company is decided by its development stage and what type of brand and identity marketing it wishes to implement. Businesses are using sophisticated data analytics solutions with AI capabilities to make advantageous decisions and help discern opportunities and market trends.

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The AIgent: Using Google’s BERT Language Model to Connect Writers & Representation

Insight

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often With breaking this bottleneck in mind, I’ve used my time as an Insight Data Science Fellow to build the AIgent, a web-based neural net to connect writers to representation. often without even looking at it.

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Managing risk in machine learning

O'Reilly on Data

Below are the top search topics on our training platform: Beyond “search,” note that we’re seeing strong growth in consumption of content related to ML across all formats—books, posts, video, and training. Classification parity means that one or more of the standard performance measures (e.g.,